Men vs Women on Dating Apps: What the Data Really Shows
Men outnumber women 2:1 in dating app research. But when women arrive, they read more carefully — and both genders convert at almost identical rates.
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The conversation around gender and dating apps tends to go in circles.
Men say apps are harder for them. Women say apps are more overwhelming for them. Both are probably right, in different ways.
What doesn't get discussed much: how men and women actually research dating apps before signing up.
Our data offers a clear answer.
Key Findings
- Men account for 65% of identifiable visitors; women account for 35%
- Women spend 10% longer reading reviews than men (22 seconds vs 20 seconds)
- Click-through rates are almost identical: men 40.95%, women 40.02%
- Men have a slightly higher per-session engagement rate (62.4% vs 61.9%)
- Both genders are high-intent researchers once they arrive
Who's Actually Researching Dating Apps?
Of visitors whose gender GA4 can identify, the split is clear:
Visitor split by gender (identified users only)
That's a nearly 2:1 ratio.
The gap is real. But what happens once each gender arrives is more interesting than the headline ratio.
Men Browse More. Women Read More Carefully.
Average engagement time per session:
Average engagement time per session by gender
A 10% difference in session length may not sound dramatic. Across thousands of sessions, it represents meaningfully more time spent reading detailed reviews and comparing options.
Women are not arriving and bouncing. They're arriving and reading.
What This Means
When women choose to research a dating app, they do it more thoroughly than men. The decision to sign up is being made with more information behind it.
The Conversion Gap That Barely Exists
Here's where the 2:1 volume gap becomes irrelevant.
Click-through rate — the proportion of visitors who actually click through to a dating app — is:
Click-through rate by gender
A difference of less than one percentage point.
Once a woman arrives at a review site, she's just as ready to act on what she reads as a man.
The gap is in volume, not intent.
Why Do More Men Research Dating Apps Online?
A few likely explanations, none of them proven by this data alone.
Men typically receive fewer matches and messages on dating apps. That creates more pressure to choose the right platform — and more reason to research before committing.
Women may rely more heavily on recommendations from friends and social media before they reach a review site. By the time they arrive, they've already done some of the work elsewhere.
It may also reflect simple behavioural patterns: men use search-based research more; women use social proof more.
What This Means
The 2:1 ratio is less about disinterest and more about different paths to the same destination. Both genders end up signing up at the same rate. They just take different routes to get there.
What This Means for the Dating App Industry
Dating apps spend heavily on female acquisition — on the logic that a female-heavy user base makes the app more attractive to men.
But if two-thirds of people actively researching those apps online are male — reading reviews, comparing ratings, checking Trustpilot scores — that's an audience worth speaking to directly.
Men researching apps on Best10DatingGuide have a 41% click-through rate. They're not passive browsers. They're informed, motivated, and ready to sign up when they find the right option.
The research phase of online dating is, by a significant margin, a male-dominated activity. The sign-up phase is not.
One thing is clear: both men and women are doing more research before joining dating apps than ever before. The days of downloading an app on impulse are fading. Users — regardless of gender — want to know what they're getting into first.
Find out how the major apps score this week on our dating app leaderboard. Or answer a few questions and get a personalised recommendation with our dating app quiz.
Methodology: Gender data is available via Google Signals for approximately 18% of total visitors (7,117 of 38,203 users). The remaining 82% browse without identifiable demographic signals. The identifiable sample is consistent across the full 10-week period (1 March – 11 May 2026).
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